This paper describes a more efficient paired comparison method that reduces the number of trials necessary for converting a table of paired comparisons into scalar data. Instead of comparing every pair of samples (the complete method), a partial method is used that makes more comparisons between closer samples than between more distant samples. A sorting algorithm is used to efficiently order t...

Estimating the subjective, human-perceived quality of an image can be very useful. For example, with an accurate measure of how interesting and attractive each photo from an event is we could create high quality, automated slideshows and summaries. Often people take multiple pictures of the same scene, and these quality metrics could also be used for deduplication: once duplicate images have be...

Multimedia communication is becoming pervasive because of the progress in wireless communications and multimedia coding. Estimating the quality of the visual content accurately is crucial in providing satisfactory service. State of the art visual quality assessment approaches are effective when the input image and the reference image have the same resolution. However, finding the quality of an ...

Image quality evaluation plays an important role in the design of many Hewlett Packard products, including imaging peripherals such as digital cameras, scanners, printers and displays. This chapter describes some of the engineering tools my colleagues and I are developing at Hewlett Packard Laboratories to help us evaluate how our customers perceive the image quality of our products. The engine...

Image quality is known to be multivalued with some visual attributes or "nesses." One example of a "ness" is colorfulness. Published research has shown that the image quality versus colorfulness function reaches a maximum and increasing colorfulness beyond the optimum level actually degrades image quality. The present formulations of image quality models—e.g. Minkowski metrics and the Generaliz...

Image quality assessment is a difficult problem in the field of image processing without any acceptable solution yet. Quality assessment of textures, which is the topic of this work, is even harder problem. This work presents an overview and a description of current state of the art methods as well as brief experiments on textures and a discussion about the usability of these methods on textures.

We solve the problem of quantitative measuring of image quality, beyond the widely used MSE (mean square error) or even visual comparison. We combine eight feature-based and perceptually-oriented image quality metrics. The need for this comes from virtual archaeology, where various image acquisitions, antialiasing, multiresolution, image reconstruction or texturing methods produce very similar ...

The fact that multimedia services have become the major driver for next generation wireless networks underscores their technological and economic impact. A vast majority of these multimedia services are consumer-centric and therefore must guarantee a certain level of perceptual quality. Given the massive volumes of image and video data in question, it is only natural to adopt automatic quality ...

Radiographic image is the final product of imaging department and it passes through many steps before viewing. To achieve the ideal images with high quality and lowest possible radiation dose to the patient, one should take care during each stage of image formation which isn’t only practiced by one person who is designated to do that, It is the responsibility of everybody in the facility to imp...